Senior Software Engineer, Platform

About the role

At HackerOne, we’re revolutionizing offensive security by combining human intelligence with artificial intelligence to help organizations build a safer internet. As a Senior Software Engineer on our AI Platform team, you will contribute directly to the development of our next-generation AI security capabilities, including our in-platform AI security agent, Hai. You will help develop AI-powered features that enhance vulnerability discovery, improve security analysis workflows, and expand how thousands of customers detect and respond to emerging threats.

This is a role targeted for candidates within ~50 miles of Seattle, WA; Boston, MA; Washington, DC; or Austin, TX. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together—fostering collaboration, connection, and in-person moments that enrich our culture—while still preserving the benefits of remote work. Must be able and willing to come to the office once per week (typically Thursdays).

Responsibilities

• Contribute to the evolution of the cloud-based execution platform for the AI security agent Hai, implementing features that enable natural language-driven security insights, improved reasoning, and secure action workflows.
• Design and implement core components for end-to-end execution of security agents, including agent execution frameworks, memory services, RAG services, and observability systems.
• Operate with an AI-first mindset, leveraging tools such as Claude Code and ChatGPT Enterprise to significantly improve productivity across coding, design documentation, on-call response, and customer escalation handling.
• Collaborate cross-functionally with Product, Security Research, and Customer Success to translate customer needs into clear engineering requirements and deliverables.
• Develop and integrate APIs that enable secure interactions between AI models, internal services, and third-party systems, adjusting quickly as requirements evolve.
• Use metrics, evaluation data, and telemetry to validate model behavior and improve system performance.
• Break down complex distributed systems and security problems into smaller, fundamental components, applying first principles problem solving to deliver simple, scalable solutions.

Requirements

• 5+ years of experience as a software engineer
• Must be able and willing to come to the office once per week (typically Thursdays)
• Experience working with cloud services like AWS, GCP or Azure
• Experience implementing distributed system features within production-grade AI or ML systems, including integrating LLMs or generative AI models into applications
• Familiarity with model deployment workflows, evaluation techniques, or MLOps concepts
• Understanding of responsible AI development and basic AI safety considerations

Preferred Qualifications

• Experience working with cloud AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML)
• Experience with Agentic AI Ops, ML Ops
• Exposure to agentic frameworks such as ReAct, AutoGen, LangChain, or Semantic Kernel
• Familiarity with full-stack technologies such as Ruby on Rails, GraphQL, or React—especially for integrating AI capabilities into existing systems

Pay

Compensation bands: $182K – $222K (Seattle, Austin, Boston, DC). Offers include equity.

Benefits

• Health (medical, vision, dental), life, and disability insurance
• Equity stock options
• Retirement plans
• Paid public holidays and unlimited PTO
• Paid maternity and parental leave
• Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)
• Employee Assistance Program

Eligibility may differ by country.